Discourse monitor

How the monitored publications were assessed

Discourse valence across every scored item: what the sampled sources published and how independent models read it. It is not a measure of public opinion, not a measure of the state of the world, and article volume is not agreement.


Range
Mean discourse valence per day · existential-risk · last 90 days
-100-500+50+100 2026-09-10: -64 (8 items)2026-09-11: -48 (16 items)2026-09-12: -42 (10 items)2026-09-13: -49 (7 items)2026-09-14: -43 (23 items)2026-09-15: -38 (18 items)2026-09-16: -35 (23 items)2026-09-17: -44 (18 items)2026-09-18: -37 (20 items)2026-09-19: -44 (9 items)2026-09-20: -49 (3 items)2026-09-21: -38 (9 items)2026-09-22: -36 (20 items)2026-09-23: -29 (13 items)2026-09-24: -46 (11 items)2026-09-25: -57 (12 items)2026-09-26: -60 (5 items)2026-09-27: -72 (4 items)2026-09-28: -65 (9 items)2026-09-29: -48 (14 items)2026-09-30: -51 (16 items)2026-10-01: -41 (15 items)2026-10-02: -49 (3 items)2026-10-03: -66 (2 items)2026-10-04: -50 (1 items)2026-10-05: -56 (8 items)2026-10-06: -64 (9 items)2026-10-07: -24 (4 items)2026-10-08: -27 (12 items)2026-10-09: -43 (10 items)2026-10-10: -70 (1 items)2026-10-12: -37 (12 items)2026-10-13: -48 (9 items)2026-10-14: -52 (11 items)2026-10-15: -45 (7 items)2026-10-16: -48 (11 items)2026-10-17: -51 (2 items)2026-10-18: -35 (3 items)2026-10-19: -24 (8 items)2026-10-20: -58 (5 items)2026-10-21: -46 (6 items)2026-10-22: -19 (4 items)2026-10-23: -1 (7 items)2026-10-24: +39 (2 items)2026-10-26: -37 (12 items)2026-10-27: -38 (15 items)2026-10-28: -32 (9 items)2026-10-29: -9 (5 items)2026-10-30: -50 (4 items)2026-10-31: -47 (3 items)2026-11-02: -33 (4 items)2026-11-03: -47 (7 items)2026-11-04: -34 (4 items)2026-11-05: -29 (13 items)2026-11-06: -33 (11 items)2026-11-08: -50 (1 items) 2026-09-10 2026-11-08

This line is the mean of every item scored on each day. It deliberately ignores the reading filter, because a daily mean of only the strongly adverse items would move with how many were filtered out rather than with the discourse.

Discourse valence, strongly adverse
-75
Strongly adverse
120 items · range -91 to -66
Adverse readingFavourable reading
Mean across the 120 items matching this filter under existential-risk in the last 90 days.

120 items read as strongly adverse

3560
discovered, all time
984
passed triage
2574
rejected at triage
3464
model assessments
710
multi-model panels
1780
distinct claims tracked

Across the whole window

The two tables below describe every item in the last 90 days under existential-risk. They are deliberately not narrowed by the reading filter (currently strongly adverse), because a mean taken only over items already selected for their score would just restate the filter.

By topic

TopicBranchItemsMeanPosition
Existential and catastrophic risk risk 568 -42
Governance and regulation structural 459 -31
Concentration of power risk 451 -36
Loss of control and alignment risk 337 -49
Human agency and epistemics risk 166 -26
Cyber capability risk 165 -44
Evaluation and measurement structural 159 -19
Scaling and architecture structural 137 -16
AGI and timelines structural 132 -29
Synthetic media and manipulation risk 104 -44
Employment and displacement risk 62 -31
Medicine and health benefit 43 -14
Scientific acceleration benefit 42 -4
Education and access to expertise benefit 29 -17
Biological and chemical uplift risk 26 -25
Climate and energy structural 20 -33
Compute and infrastructure structural 18 -8
Productivity and growth benefit 6 -3
Abundance and material wellbeing benefit 5 -1
Hype and disillusionment structural 5 -45

By source

A source's mean says how the items it published were read. It is not a rating of the source.

SourceKindTierItemsMean
The Guardian: Artificial Intelligencenews1241-52
arXiv cs.CY (Computers and Society)academic1217-24
Financial Times: Artificial Intelligencenews1112-40
arXiv cs.AIacademic199-15
The New York Times: Technologynews160-36
Ars Technica: AInews159-51
MIT Technology Review: AInews134-42
Natureacademic131-25
BBC News: Technologynews129-35
OpenAIlab124-8
arXiv cs.LG (Machine Learning)academic124-16
IEEE Spectrum: AInews119-19
The Economist: Science and Technologynews110-37
CSET, Georgetowngovernment19-37
Microsoft Researchlab180
Google DeepMindlab16-4
Google AI Bloglab12-9